2. Should understand the importance and know-how of taking the machine-learning-based solution to the consumer.
3. Hands-on experience with statistical, machine-learning tools and techniques
4. Good exposure to Deep learning libraries like Tensorflow, PyTorch.
5. Experience in implementing Deep Learning techniques, Computer Vision and NLP. The candidate should be able to develop the solution from scratch with Github codes exposed.
6. Should be able to read research papers and pick ideas to quickly reproduce research in the most comfortable Deep Learning library.
7. Should be strong in data structures and algorithms. Should be able to do code complexity analysis/optimization for smooth delivery to production.
8. Expert level coding experience in Python.
9. Technologies: Backend - Python (Programming Language)
10. Should have the ability to think long term solutions, modularity, and reusability of the components.
11. Should be able to work in a collaborative way. Should be open to learning from peers as well as constantly bring new ideas to the table.
12. Self-driven missile. Open to peer criticism, feedback and should be able to take it positively. Ready to be held accountable for the responsibilities undertaken.
About Quantiphi Inc.
Quantiphi is a category-defining Data Science and Machine Learning software and services company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact.
We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design.
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RESPONSIBILITIES:
Requirement understanding and elicitation, analyze, data/workflows, contribute to product
project and Proof of concept (POC)
Contribute to prepare design documents and effort estimations.
Develop AI/ML Models using best in-class ML models.
Building, testing, and deploying AI/ML solutions.
Work with Business Analysts and Product Managers to assist with defining functional user
stories.
Ensure deliverables across teams are of high quality and clearly documented.
Recommend best ML practices/Industry standards for any ML use case.
Proactively take up R and D and recommend solution options for any ML use case.
REQUIREMENTS:
Required Skills
Overall experience of 4 to 7 Years working on AI/ML framework development
Good programming knowledge in Python is must.
Good Knowledge of R and SAS is desired.
Good hands on and working knowledge SQL, Data Model, CRISP-DM.
Proficiency with Uni/multivariate statistics, algorithm design, and predictive AI/ML modelling.
Strong knowledge of machine learning algorithms, linear regression, logistic regression, KNN,
Random Forest, Support Vector Machines and Natural Language Processing.
Experience with NLP and deep neural networks using synthetic and artificial data.
Involved in different phases of SDLC and have good working exposure on different SLDC’s like
Agile Methodologies.
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Fix issues with plugins for our Python-based ETL pipelines
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Help with automation of standard workflow
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Deliver Python microservices for provisioning and managing cloud infrastructure
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Responsible for any refactoring of code
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Effectively manage challenges associated with handling large volumes of data working to tight deadlines
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Manage expectations with internal stakeholders and context-switch in a fast-paced environment
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Thrive in an environment that uses AWS and Elasticsearch extensively
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Keep abreast of technology and contribute to the engineering strategy
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Champion best development practices and provide mentorship to others
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First and foremost you are a Python developer, experienced with the Python Data stack
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You love and care about data
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Your code is an artistic manifest reflecting how elegant you are in what you do
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You feel sparks of joy when a new abstraction or pattern arises from your code
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You support the manifests DRY (Don’t Repeat Yourself) and KISS (Keep It Short and Simple)
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You are a continuous learner
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You have a natural willingness to automate tasks
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You have critical thinking and an eye for detail
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Excellent ability and experience of working to tight deadlines
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Sharp analytical and problem-solving skills
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Strong sense of ownership and accountability for your work and delivery
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Excellent written and oral communication skills
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Mature collaboration and mentoring abilities
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We are keen to know your digital footprint (community talks, blog posts, certifications, courses you have participated in or you are keen to, your personal projects as well as any kind of contributions to the open-source communities if any)
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Delivering complex software, ideally in a FinTech setting
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Experience with CI/CD tools such as Jenkins, CircleCI
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Experience with code versioning (git / mercurial / subversion)
We are a rapidly expanding global technology partner, that is looking for a highly skilled Senior (Python) Data Engineer to join their exceptional Technology and Development team. The role is in Kolkata. If you are passionate about demonstrating your expertise and thrive on collaborating with a group of talented engineers, then this role was made for you!
At the heart of technology innovation, our client specializes in delivering cutting-edge solutions to clients across a wide array of sectors. With a strategic focus on finance, banking, and corporate verticals, they have earned a stellar reputation for their commitment to excellence in every project they undertake.
We are searching for a senior engineer to strengthen their global projects team. They seek an experienced Senior Data Engineer with a strong background in building Extract, Transform, Load (ETL) processes and a deep understanding of AWS serverless cloud environments.
As a vital member of the data engineering team, you will play a critical role in designing, developing, and maintaining data pipelines that facilitate data ingestion, transformation, and storage for our organization.
Your expertise will contribute to the foundation of our data infrastructure, enabling data-driven decision-making and analytics.
Key Responsibilities:
- ETL Pipeline Development: Design, develop, and maintain ETL processes using Python, AWS Glue, or other serverless technologies to ingest data from various sources (databases, APIs, files), transform it into a usable format, and load it into data warehouses or data lakes.
- AWS Serverless Expertise: Leverage AWS services such as AWS Lambda, AWS Step Functions, AWS Glue, AWS S3, and AWS Redshift to build serverless data pipelines that are scalable, reliable, and cost-effective.
- Data Modeling: Collaborate with data scientists and analysts to understand data requirements and design appropriate data models, ensuring data is structured optimally for analytical purposes.
- Data Quality Assurance: Implement data validation and quality checks within ETL pipelines to ensure data accuracy, completeness, and consistency.
- Performance Optimization: Continuously optimize ETL processes for efficiency, performance, and scalability, monitoring and troubleshooting any bottlenecks or issues that may arise.
- Documentation: Maintain comprehensive documentation of ETL processes, data lineage, and system architecture to ensure knowledge sharing and compliance with best practices.
- Security and Compliance: Implement data security measures, encryption, and compliance standards (e.g., GDPR, HIPAA) as required for sensitive data handling.
- Monitoring and Logging: Set up monitoring, alerting, and logging systems to proactively identify and resolve data pipeline issues.
- Collaboration: Work closely with cross-functional teams, including data scientists, data analysts, software engineers, and business stakeholders, to understand data requirements and deliver solutions.
- Continuous Learning: Stay current with industry trends, emerging technologies, and best practices in data engineering and cloud computing and apply them to enhance existing processes.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Proven experience as a Data Engineer with a focus on ETL pipeline development.
- Strong proficiency in Python programming.
- In-depth knowledge of AWS serverless technologies and services.
- Familiarity with data warehousing concepts and tools (e.g., Redshift, Snowflake).
- Experience with version control systems (e.g., Git).
- Strong SQL skills for data extraction and transformation.
- Excellent problem-solving and troubleshooting abilities.
- Ability to work independently and collaboratively in a team environment.
- Effective communication skills for articulating technical concepts to non-technical stakeholders.
- Certifications such as AWS Certified Data Analytics - Specialty or AWS Certified DevOps Engineer are a plus.
Preferred Experience:
- Knowledge of data orchestration and workflow management tools
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Previous experience in industries with strict data compliance requirements (e.g., insurance, finance) is beneficial.
What You Can Expect:
- Innovation Abounds: Join a company that constantly pushes the boundaries of technology and encourages creative thinking. Your ideas and expertise will be valued and put to work in pioneering solutions.
- Collaborative Excellence: Be part of a team of engineers who are as passionate and skilled as you are. Together, you'll tackle challenging projects, learn from each other, and achieve remarkable results.
- Global Impact: Contribute to projects with a global reach and make a tangible difference. Your work will shape the future of technology in finance, banking, and corporate sectors.
They offer an exciting and professional environment with great career and growth opportunities. Their office is located in the heart of Salt Lake Sector V, offering a terrific workspace that's both accessible and inspiring. Their team members enjoy a professional work environment with regular team outings. Joining the team means becoming part of a vibrant and dynamic team where your skills will be valued, your creativity will be nurtured, and your contributions will make a difference. In this role, you can work alongside some of the brightest minds in the industry.
If you're ready to take your career to the next level and be part of a dynamic team that's driving innovation on a global scale, we want to hear from you.
Apply today for more information about this exciting opportunity.
Onsite Location: Kolkata, India (Salt Lake Sector V)
- Mandatory - Hands on experience in Python and PySpark.
- Build pySpark applications using Spark Dataframes in Python using Jupyter notebook and PyCharm(IDE).
- Worked on optimizing spark jobs that processes huge volumes of data.
- Hands on experience in version control tools like Git.
- Worked on Amazon’s Analytics services like Amazon EMR, Lambda function etc
- Worked on Amazon’s Compute services like Amazon Lambda, Amazon EC2 and Amazon’s Storage service like S3 and few other services like SNS.
- Experience/knowledge of bash/shell scripting will be a plus.
- Experience in working with fixed width, delimited , multi record file formats etc.
- Hands on experience in tools like Jenkins to build, test and deploy the applications
- Awareness of Devops concepts and be able to work in an automated release pipeline environment.
- Excellent debugging skills.
Working along with the highly motivated advanced Machine Learning team, with key responsibilities are to research, design, develop, and implement applications that will be integrated into our workflows. Responsibilities and Accountabilities:
I Experience:
III Skill Set & Personality Traits required:
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1. Working on supervised and unsupervised learning algorithms
2. Developing deep learning and machine learning algorithms
3. Working on live projects on data analytics
- Perform research and development on Machine Learning specifically in the areas of Speech Recognition, Digital signal processing, audio signal processing, NaturalLanguage processing, Natural Language Understanding
- Read and keep up with the research in Speech recognition, Machine Learning, Deep
- Understand and implement research papers to the business problem and build the
- Contribute to applied research and open source community
- Mentor and guide team members
About Us
Punchh is the leader in customer loyalty, offer management, and AI solutions for offline and omni-channel merchants including restaurants, convenience stores, and retailers. Punchh brings the power of online to physical brands by delivering omni-channel experiences and personalization across the entire customer journey--from acquisition through loyalty and growth--to drive same store sales and customer lifetime value. Punchh uses best-in-class integrations to POS and other in-store systems such as WiFi, to deliver real-time SKU-level transaction visibility and offer provisioning for physical stores.
Punchh is growing exponentially, serves 200+ brands that encompass 91K+ stores globally. Punchh’s customers include the top convenience stores such as Casey’s General Stores, 25+ of the top 100 restaurant brands such as Papa John's, Little Caesars, Denny’s, Focus Brands (5 of 7 brands), and Yum! Brands (KFC, Pizza Hut, and Taco Bell), and retailers. For a multi-billion $ brand with 6K+ stores, Punchh drove a 3% lift in same-store sales within the first year. Punchh is powering loyalty programs for 135+ million consumers.
Punchh has raised $70 million from premier Silicon Valley investors including Sapphire Ventures and Adam Street Partners, has a seasoned leadership team with extensive experience in digital, marketing, CRM, and AI technologies as well as deep restaurant and retail industry expertise.
About the Role:
Punchh Tech India Pvt. is looking for a Senior Data Analyst – Business Insights to join our team. If you're excited to be part of a winning team, Punchh is a great place to grow your career.
This position is responsible for discovering the important trends among the complex data generated on Punchh platform, that have high business impact (influencing product features and roadmap). Creating hypotheses around these trends, validate them with statistical significance and make recommendations
Reporting to: Director, Analytics
Job Location: Jaipur
Experience Required: 4-6 years
What You’ll Do
- Take ownership of custom data analysis projects/requests and work closely with end users (both internal and external clients) to deliver the results
- Identify successful implementation/utilization of product features and contribute to the best-practices playbook for client facing teams (Customer Success)
- Strive towards building mini business intelligence products that add value to the client base
- Represent the company’s expertise in advanced analytics in a variety of media outlets such as client interactions, conferences, blogs, and interviews.
What You’ll Need
- Masters in business/behavioral economics/statistics with a strong interest in marketing technology
- Proven track record of at least 5 years uncovering business insights, especially related to Behavioral Economics and adding value to businesses
- Proficient in using the proper statistical and econometric approaches to establish the presence and strength of trends in data. Strong statistical knowledge is mandatory.
- Extensive prior exposure in causal inference studies, based on both longitudinal and latitudinal data.
- Excellent experience using Python (or R) to analyze data from extremely large or complex data sets
- Exceptional data querying skills (Snowflake/Redshift, Spark, Presto/Athena, to name a few)
- Ability to effectively articulate complex ideas in simple and effective presentations to diverse groups of stakeholders.
- Experience working with a visualization tool (preferably, but not restricted to Tableau)
- Domain expertise: extensive exposure to retail business, restaurant business or worked on loyalty programs and promotion/campaign effectiveness
- Should be self-organized and be able to proactively identify problems and propose solutions
- Gels well within and across teams, work with stakeholders from various functions such as Product, Customer Success, Implementations among others
- As the stakeholders on business side are based out of US, should be flexible to schedule meetings convenient to the West Coast timings
- Effective in working autonomously to get things done and taking the initiatives to anticipate needs of executive leadership
- Able and willing to relocate to Jaipur post pandemic.
Benefits:
- Medical Coverage, to keep you and your family healthy.
- Compensation that stacks up with other tech companies in your area.
- Paid vacation days and holidays to rest and relax.
- Healthy lunch provided daily to fuel you through your work.
- Opportunities for career growth and training support, including fun team building events.
- Flexibility and a comfortable work environment for you to feel your best.
We are Still Hiring!!!
Dear Candidate,
This email is regarding open positions for Data Engineer Professionals with our organisation CRMNext.
In case, you find the company profile and JD matching your aspirations and your profile matches the required Skill and qualifications criteria, please share your updated resume with response to questions.
We shall reach you back for scheduling the interviews post this.
About Company:
Driven by a Passion for Excellence
Acidaes Solutions Pvt. Ltd. is a fast growing specialist Customer Relationship Management (CRM) product IT company providing ultra-scalable CRM solutions. It offers CRMNEXT, our flagship and award winning CRM platform to leading enterprises both on cloud as well as on-premise models. We consistently focus on using the state of art technology solutions to provide leading product capabilities to our customers.
CRMNEXT is a global cloud CRM solution provider credited with the world's largest installation ever. From Fortune 500 to start-ups, businesses across nine verticals have built profitable customer relationships via CRMNEXT. A pioneer of Digital CRM for some of the largest enterprises across Asia-Pacific, CRMNEXT's customers include global brands like Pfizer, HDFC Bank, ICICI Bank, Axis Bank, Tata AIA, Reliance, National Bank of Oman, Pavers England etc. It was recently lauded in the Gartner Magic Quadrant 2015 for Lead management, Sales Force Automation and Customer Engagement. For more information, visit us at www.crmnext.com
Educational Qualification:
B.E./B.Tech /M.E./ M.Tech/ MCA with (Bsc.IT/Bsc. Comp/BCA is mandatory)
60% in Xth, XIIth /diploma, B.E./B.Tech/M.E/M.Tech/ MCA with (Bsc.IT/Bsc. Comp/BCA is mandatory)
All education should be regular (Please Note - Degrees through Distance learning/correspondence will not consider)
Exp level- 2 to 5 yrs
Location-Andheri (Mumbai)
Technical expertise required:
1)Analytics experience in the BFSI domain is must
2) Hands on technical experience in python, big data and AI
3) Understanding of datamodels and analytical concepts
4) Client engagement :
Should have run in past client engagements for Big data/ AI projects starting from requirement gathering, to planning development sprints, and delivery
Should have experience in deploying big data and AI projects
First hand experience on data governance, data quality, customer data models, industry data models
Aware of SDLC.
Regards,
Deepak Sharma
HR Team
We are actively seeking a Senior Data Engineer experienced in building data pipelines and integrations from 3rd party data sources by writing custom automated ETL jobs using Python. The role will work in partnership with other members of the Business Analytics team to support the development and implementation of new and existing data warehouse solutions for our clients. This includes designing database import/export processes used to generate client data warehouse deliverables.
- 2+ Years experience as an ETL developer with strong data architecture knowledge around data warehousing concepts, SQL development and optimization, and operational support models.
- Experience using Python to automate ETL/Data Processes jobs.
- Design and develop ETL and data processing solutions using data integration tools, python scripts, and AWS / Azure / On-Premise Environment.
- Experience / Willingness to learn AWS Glue / AWS Data Pipeline / Azure Data Factory for Data Integration.
- Develop and create transformation queries, views, and stored procedures for ETL processes, and process automation.
- Document data mappings, data dictionaries, processes, programs, and solutions as per established standards for data governance.
- Work with the data analytics team to assess and troubleshoot potential data quality issues at key intake points such as validating control totals at intake and then upon transformation, and transparently build lessons learned into future data quality assessments
- Solid experience with data modeling, business logic, and RESTful APIs.
- Solid experience in the Linux environment.
- Experience with NoSQL / PostgreSQL preferred
- Experience working with databases such as MySQL, NoSQL, and Postgres, and enterprise-level connectivity experience (such as connecting over TLS and through proxies).
- Experience with NGINX and SSL.
- Performance tune data processes and SQL queries, and recommend and implement data process optimization and query tuning techniques.